Inductive Linearization for Binary Quadratic Programs with Linear Constraints: A Computational Study

Abstract

The computational performance of inductive linearizations for binary quadratic programs in combination with a mixed-integer programming solver is investigated for several combinatorial optimization problems and established benchmark instances. Apparently, a few of these are solved to optimality for the first time

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Last time updated on 26/11/2021

This paper was published in computer science publication server.

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